#!/usr/bin/python3
# coding=utf-8

# Copyright (c) 2024 Huawei Technologies Co., Ltd.
# This file is a part of the CANN Open Software.
# Licensed under CANN Open Software License Agreement Version 1.0 (the "License").
# Please refer to the License for details. You may not use this file except in compliance with the License.
# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
# INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
# See LICENSE in the root of the software repository for the full text of the License.
# ======================================================================================================================

import numpy as np
import os


def gen_golden_data():
    x1_gm_type = np.float16
    x2_gm_type = np.float16

    m = 512
    n = 1024
    k = 512

    x1_gm = np.random.randint(1, 10, [m, k]).astype(x1_gm_type)
    x2_gm = np.random.randint(1, 10, [k, n]).astype(x2_gm_type)
    golden = np.matmul(x1_gm.astype(np.float32), x2_gm.astype(np.float32)).astype(np.float32)
    x1_gm = x1_gm.transpose() # A is transposed
    os.system("mkdir -p input")
    os.system("mkdir -p output")
    x1_gm.tofile("./input/x1_gm.bin")
    x2_gm.tofile("./input/x2_gm.bin")
    golden.tofile("./output/golden.bin")


if __name__ == "__main__":
    gen_golden_data()
